# Robust spatial memory maps encoded by networks with transient connections

@article{Babichev2018RobustSM, title={Robust spatial memory maps encoded by networks with transient connections}, author={Andrey Babichev and Dmitriy Morozov and Yuri A. Dabaghian}, journal={PLoS Computational Biology}, year={2018}, volume={14} }

The spiking activity of principal cells in mammalian hippocampus encodes an internalized neuronal representation of the ambient space—a cognitive map. Once learned, such a map enables the animal to navigate a given environment for a long period. However, the neuronal substrate that produces this map is transient: the synaptic connections in the hippocampus and in the downstream neuronal networks never cease to form and to deteriorate at a rapid rate. How can the brain maintain a robust…

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## 14 Citations

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It is demonstrated that deterioration of the hippocampal spatial memory map caused by excessive transience of synaptic connections may be mitigated by spontaneous replays, which helps to understand how transient information about local spatial connectivity may stabilize at a large scale.

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This work argues that the existence and a number of properties of the firing fields can be established theoretically, through topological analyses of the neuronal spiking activity, and uses Leray criterion powered by persistent homology theory, Eckhoff conditions and Region Connection Calculus to verify consistency of neuronal responses with a single coherent representation of space.

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This work comprehensively and rigorously assess its performance in simulated neural recordings of the brain’s spatial representation system, and identifies regimes under which mixtures of populations form product topologies that can be detected.

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